Data Scientist

Salary: £65,000 - 105,000 per year

Requirements:

• We are looking for strong practical experience using Python to analyse data, build measurement approaches and communicate meaningful findings.
• We would like experience applying causal inference, geo-experimentation or related experimental and quasi-experimental methods to real-world business questions.
• We value a pragmatic and commercially focused approach, with the ability to balance analytical rigour with the need to make timely decisions.
• We need strong communication skills, including the ability to explain technical concepts clearly to stakeholders with different levels of analytical expertise.
• We are looking for confidence in managing several projects or workstreams simultaneously while maintaining focus on the most valuable outcomes.
• We value experience working collaboratively with marketing, analytics or other cross-functional teams to turn business questions into analytical solutions.
• Ideally, you will have experience in marketing measurement, marketing effectiveness or marketing mix modelling, although we also welcome relevant transferable experience.
• We look for curiosity, sound judgement and a willingness to work with ambiguity, test different approaches and learn from imperfect evidence.

Responsibilities:

• We design and deliver robust approaches for measuring the effectiveness and incremental impact of marketing activity.
• We use Python, causal inference and geo-experimentation techniques to analyse performance and generate commercially relevant insights.
• We combine evidence from multiple data sources and measurement methods to provide a clear and balanced view where no single solution is definitive.
• We translate complex analytical findings into practical recommendations that enable marketing stakeholders to make informed investment decisions.
• We partner closely with marketing, analytics and other cross-functional teams to define measurement questions, shape project scope and align on successful outcomes.
• We manage several focused analytical projects at the same time, balancing pace, quality and business value across competing priorities.
• We apply pragmatic judgement when working with incomplete or imperfect data, clearly communicating assumptions, limitations and levels of confidence.
• We contribute to the continued development of our marketing measurement capabilities, identifying opportunities to improve methods, tools and ways of working.

Technologies:

• Support
• Marketing
• Mobile
• Python

More:

We are Trainline, champions of rail and a FTSE 250 company on a mission to build a greener, more sustainable future of travel. We help millions of travellers find and book the best value tickets across carriers, fares and journey options through our mobile app, website and B2B partner channels. We are Europes number 1 downloaded rail app, with over 135 million monthly visits and 6.3 billion in annual ticket sales, working with 270+ rail and coach companies in over 40 countries. Our team includes more than 1,000 Trainliners from 50+ nationalities across London, Paris, Barcelona, Milan, Edinburgh and Madrid. The Customer Growth team focuses on understanding and improving how our marketing builds awareness, consideration and long-term customer growth. We offer fantastic perks including private healthcare and dental insurance, a generous work from abroad policy, share purchase plans, an EV Scheme, extra festive time off and family-friendly benefits. We support career growth with clear career paths, transparent pay bands, personal learning budgets and regular learning days. We work in a hybrid model, asking Trainliners to work from the office a minimum of 60% of their time over a 12-week period, and we offer a 28-day work from abroad policy. Our values are Think Big, Own It, Travel Together and Do Good, and we are committed to building an inclusive workplace where everyone belongs.

last updated 34 week of 2026